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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
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Use Databox with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Visualize KPIs from hundreds of data sources in custom dashboards that keep your entire team focused on what matters.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 10 capabilities

The complete Databox capability set.

These are the exact actions your AI can choose when you ask it to work with Databox.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Databox.

  1. 01

    Create data source

    Use service "custom" for push-based data sources. Create a new data source connection in a Databox account

  2. 02

    Delete dataset

    This cannot be undone. Use with extreme caution. Permanently delete a Databox dataset and all its ingested data

  3. 03

    Get dataset details

    Get metadata and schema details for a specific Databox dataset

  4. 04

    List accounts

    Use the returned accountId for data source operations. List all Databox accounts accessible with your API key

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Databox.

  1. 05

    List data sources

    Each data source represents an integration like Google Analytics, HubSpot, or a custom push source. List data sources (integrations) for a specific Databox account

  2. 06

    Validate authentication

    Use this to verify credentials before performing other operations. Validate your Databox API key and check authentication status

  3. 07

    Create dataset

    Requires a title, data source ID to link to, and primary key columns. Use this before pushing data. Create a new dataset (data table) for storing metrics in Databox

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Databox.

  1. 08

    List dataset metrics

    List metrics discovered in a Databox dataset after data ingestion

  2. 09

    List datasets

    Datasets are containers for your raw metrics. create one before pushing data. List all datasets (data tables) in your Databox account

  3. 10

    Push metrics data

    Each record should be a JSON object matching the dataset schema. Data becomes available in dashboards after ingestion. Ingest data records into a Databox dataset for visualization

Observed, not estimated

859ms average. Fast in production.

Databox is checked daily against the live service.

Daily averagePeak 1210ms
Aug 20Today
Fastest day
729ms
Slowest day
1210ms
14-day trend
Slowing+6%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Databox, so you can see the experience inside your AI.

It does not authenticate your account with Databox. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Databox Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_m5wxPLxA4DZzlEAGQvVBd7mHBeJdKwSaNPtHchcU/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Databox capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "databox-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_m5wxPLxA4DZzlEAGQvVBd7mHBeJdKwSaNPtHchcU/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Databox owners ask.

  • 01

    How do I find my Databox API Key?

    Log in to your account, navigate to Account Settings > API Tokens, and copy your unique v1 API Key.

  • 02

    Can I create new datasets via AI?

    Yes! Use the create_dataset capability. You'll need to specify a title, a source ID, and an array of primary keys for the table structure.

  • 03

    Does it support real-time data pushing?

    The push_metrics_data capability allows for immediate ingestion of data records, making them available for visualization in Databox instantly.

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